Image Processing Apparatus Capable of Properly Emphasizing Differences in Brightness Between Bright Spots, Image Processing Method, and Storage Medium

1. An image processing apparatus comprising: a bright spot detection unit configured to detect the number of bright spots from an image picked up by an image pickup unit; a blurring processing unit configured to perform blurring processing on the image picked up by the image pickup unit; an edge emphasis processing unit configured to perform edge emphasis processing on the image picked up by the image pickup unit; and a control unit configured to control the image processing performed on the image by selecting the blurring processing, or the edge emphasis processing, or neither of the two according to the number of bright spots detected by said bright spot detection unit.

2. The image processing apparatus according to claim 1 , wherein in a case where the number of bright spots is not smaller than a first predetermined value, said control unit controls the image processing such that the blurring processing is performed on the image picked up by the image pickup unit.

3. The image processing apparatus according to claim 1 , wherein in a case where the number of bright spots is not larger than a second predetermined value, said control unit controls the image processing such that the edge emphasis processing is performed on the image picked up by the image pickup unit.

4. The image processing apparatus according to claim 1 , wherein said control unit controls the image processing performed on the image picked up by the image pickup unit such that the blurring processing is performed in a case where the number of bright spots is not smaller than a first predetermined value, the edge emphasis processing is performed in a case where the number of bright spots is not larger than a second predetermined value, and neither the blurring processing nor the edge emphasis processing is performed in a case where the number of bright spots is smaller than the first predetermined value and larger than the second predetermined value.

5. The image processing apparatus according to claim 1 , wherein said bright spot detection unit detects the number of bright spots from each of a plurality of image areas generated by dividing the image picked up by the image pickup unit.

6. The image processing apparatus according to claim 1 , comprising a binarization unit configured to binarize the image picked up by the image pickup unit using a predetermined threshold value, and wherein said bright spot detection unit detects the number of bright spots from the image binarized by said binarization unit.

7. The image processing apparatus according to claim 6 , comprising a dividing unit configured to divide the image picked up by the image pickup unit into a plurality of image areas, wherein said binarization unit performs binarization processing using the predetermined threshold value for each of the plurality of image areas divided by said dividing unit, wherein said bright spot detection unit identifies the maximum value of the number of bright spots detected from each of the plurality of image areas subjected to the binarization processing, and wherein said control unit controls the image processing based on the maximum value of the number of bright spots.

8. The image processing apparatus according to claim 1 , wherein the bright spots are images associated with pixel values each having a luminance value which is not smaller than a predetermined value.

9. The image processing apparatus according to claim 1 , wherein the number of bright spots is the number of bright spots per unit area in the image.

10. The image processing apparatus according to claim 1 , comprising a synthesis unit configured to compare pixel levels of pixels at respective corresponding positions in a plurality of images picked up by the image pickup unit with each other to select only a pixel having the highest level, and synthesize thus selected pixels into one image, and wherein said control unit controls the same image processing as performed on the first image picked up by the image pickup unit to be performed on second and subsequent images picked up by the image pickup unit, and wherein said synthesis unit synthesizes the first image subjected to the image processing, and the second and subsequent images subjected to the same image processing as performed on the first image.

11. An image processing apparatus comprising: a bright spot detection unit configured to detect the number of bright spots from an image picked up by an image pickup unit; an edge emphasis processing unit configured to perform edge emphasis processing on the image picked up by the image pickup unit; and a control unit configured to control the image processing performed by said edge emphasis processing unit, wherein said control unit controls the edge emphasis processing perforated on the image picked up by the image pickup unit by said edge emphasis processing unit according to the number of bright spots detected by said bright spot detection unit; wherein in a case where the number of bright spots is smaller than a first determined value, said control unit more strongly performs the edge emphasis processing than in a case where the number of bright spots is larger than the first predetermined value.

12. The image processing apparatus according to claim 11 , further comprising a blurring processing unit configured to perform blurring processing on the image picked up by the image pickup unit, wherein in a case where the number of bright spots is larger than a second predetermined value, said control unit more strongly performs the blurring processing on the image picked up by the image pickup unit than in a case where the number of bright spots is smaller than the second predetermined value.

13. The image processing apparatus according to claim 12 , wherein the second predetermined value is larger than the first predetermined value.

14. An image processing method performed by a computer, comprising: detecting the number of bright spots from an image; perform blurring processing on the image; performing edge emphasis processing on the image; and controlling the image processing performed on the image by selecting the blurring processing, or the edge emphasis processing, or neither of the two according to the number of bright spots detected by said detecting.

15. An image processing method performed by a computer, comprising: performing, on an image, binarization processing using a first threshold value, and binarization processing using a second threshold value which is smaller than the first threshold value; detecting the number of bright spots on the image subjected to the binarization processing using the first threshold value as a first number of bright spots, and the number of bright spots on the image subjected to the binarization processing using the second threshold value as a second number of bright spots, respectively; and controlling image processing performed on the image according to the first number of bright spots and the second number of bright spots, wherein said controlling includes controlling, according to the first number of bright spots and the second number of bright spots, whether to perform blurring processing or edge emphasis processing as the image processing or neither the blurring processing nor the edge emphasis processing.

16. A non-transitory computer-readable storage medium storing a computer-executable program for executing an image processing method, wherein the image processing method comprises: detecting the number of bright spots from an image; perform blurring processing on the image; performing edge emphasis processing on the image; and controlling the image processing performed on the image by selecting the blurring processing, or the edge emphasis processing, or neither of the two according to the number of bright spots detected by said detecting.

17. A non-transitory computer-readable storage medium storing a computer-executable program for executing an image processing method, wherein the image processing method comprises: performing, on an image, binarization processing using a first threshold value, and binarization processing using a second threshold value which is smaller than the first threshold value; detecting the number of bright spots on the image subjected to the binarization processing using the first threshold value as a first number of bright spots, and the number of bright spots on the image subjected to the binarization processing using the second threshold value as a second number of bright spots, respectively; and controlling image processing performed on the image according to the first number of bright spots and the second number of bright spots, wherein said controlling includes controlling, according to the first number of bright spots and the second number of bright spots, whether to perform blurring processing or edge emphasis processing as the image processing or neither the blurring processing nor the edge emphasis processing.